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All Journal Katalogis Natural Science: Journal of Science and Technology Dimas: Jurnal Pemikiran Agama untuk Pemberdayaan Lentera Pendidikan : Jurnal Ilmu Tarbiyah dan Keguruan Jurnal Ilmiah Mahasiswa FEB The International Journal of Accounting and Business Society Gravitasi COMPETITIVENESS JOURNAL JURNAL NASIONAL TEKNIK ELEKTRO JOIV : International Journal on Informatics Visualization Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) Journal of Information Technology and Computer Engineering JURNAL SILOGISME : Kajian Ilmu Matematika dan Pembelajarannya Jurnal Ilmiah Mandala Education (JIME) JISIP: Jurnal Ilmu Sosial dan Pendidikan JUPE : Jurnal Pendidikan Mandala Idaarah: Jurnal Manajemen Pendidikan Buletin Ilmiah Sarjana Teknik Elektro Al asma : Journal of Islamic Education Alauddin Journal of Mathematics Education (AJME) International Journal of Basic and Applied Science Andalasian International Journal of Applied Science, Engineering, and Technology Prosiding Seminar Nasional Sisfotek (Sistem Informasi dan Teknologi Informasi)
Muhammad Rusydi H.
Jurusan Fisika, Universitas Tadulako, Kota Palu, Indonesia
Religion Arts Humanities Astronomy Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Earth & Planetary Sciences Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Environmental Science Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Library & Information Science Materials Science & Nanotechnology Mathematics Mechanical Engineering Physics Social Sciences Other

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Plant Disease Identification Using Image Processing: A Systematic Literature Review Minarni, Minarni; Rusydi, Muhammad Ilhamdi; Darwison, Darwison; Nugroho, Hermawan; Sunaryo, Budi
Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) Vol 10 No 1 (2026): February 2026
Publisher : Ikatan Ahli Informatika Indonesia (IAII)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29207/resti.v10i1.7171

Abstract

This article is a literature review focusing on plant disease identification using image processing techniques. This review aims to provide a comprehensive analysis of dataset sources, preprocessing methodologies, segmentation techniques, feature extraction processes, and various classification methods, along with their associated accuracies. It also discusses challenges encountered and potential future research directions. Following the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) protocol, a literature search was conducted in the Scopus database to obtain primary studies. The search covered Scopus-indexed journals and proceedings published by IEEE, Elsevier, Springer, MDPI, and ACM between 2019 and 2025. The initial identification phase yielded 9,286 studies screened. Further screening was performed based on specific eligibility criteria, including relevance to the topic, year of publication, subject area, document type, and articles written in English, resulting in the selection of 82 studies for the review. The findings indicate that the most commonly used dataset is PlantVillage, followed by field data. The dominant preprocessing techniques include image enhancement and augmentation. For segmentation and feature extraction, the most frequently used methods were k-means and CNN, respectively. Sixty-one studies achieved an accuracy exceeding 90%. However, several key challenges remain: data limitations, methodological issues, and practical constraints. Future research should focus on developing more representative datasets, hybrid approaches that integrate classical and deep learning methods, and lightweight, adaptive decision support systems suitable for real-world agricultural applications. This review supports continued progress in this field by providing valuable insights for researchers developing image-based methods for identifying plant diseases.
Development of Electrical Laboratory Information System using Model View Controller Architecture Maulana, Zen Resti; Fitrianto, Eka; Rusydi, Muhammad Ilhamdi; Mahmood, Asrul Azani
Andalasian International Journal of Applied Science, Engineering and Technology Vol. 6 No. 1 (2026): March 2026
Publisher : LPPM Universitas Andalas

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25077/aijaset.v6i1.319

Abstract

Effective and efficient laboratory inventory management is crucial to support academic and research activities in higher education. The manual system currently used to manage eight laboratories in the electrical engineering department often leads to various problems, such as recording errors, asset loss, and inaccuracy in reporting. This is the urgency of establishing an integrated information system to improve the accuracy and efficiency of laboratory inventory management. This research aims to digitize the laboratory inventory through the implementation of an application-based laboratory inventory management information system, namely Silab Elektro. In addition, this system also aims to increase transparency and accountability in laboratory asset management. This information system was developed using UML (Unified Modeling Language) modeling with MVC (Model-View-Controller) architecture. This research produces a laboratory information system that can manage equipment inventory more effectively and efficiently, as well as improve data accuracy.
Electrooculography Based Control of a Robotic Manipulator with Dual Cameras for Object Retrieval Rusydi, Muhammad Ilhamdi; Gultom, Andre Paskah; Jordan, Adam; Nurhadi, Rahmad Novan; Darwison, Darwison
International Journal of Basic and Applied Science Vol. 14 No. 4 (2026): March: Computer Science
Publisher : Institute of Computer Science (IOCS)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35335/ijobas.v14i4.798

Abstract

This study presents an assistive control system for a four-degree-of-freedom (4-DoF) robotic manipulator that integrates image-based spatial perception with electrooculography (EOG)-based human–machine interaction for three-dimensional object retrieval. The system is motivated by the need for intuitive, non-contact assistive technologies to support individuals with severe motor impairments, such as tetraplegia, in performing basic manipulation tasks. The proposed framework employs an orthogonal dual-camera vision configuration to achieve explicit 3D target localization, where planar object positions on the XY plane and depth along the Z axis are estimated using focal length–based geometric modeling. User commands are generated through an EOG interface, in which eye movements and voluntary blinks are classified using a K-Nearest Neighbor (KNN) algorithm to control manipulator motion. Compared to conventional assistive robotic systems that rely on depth sensors or high-degree-of-freedom manipulators, the proposed approach utilizes asymmetric monocular viewpoints and a minimal 4-DoF architecture to reduce system complexity. Experimental results demonstrate high performance, achieving average localization accuracies of 99.52% on the XY plane and 95.88% along the Z axis, as well as an EOG classification accuracy of 94.38%. Manipulation experiments confirmed reliable operation with a 100% task success rate, while task completion time and positional error increased gradually with target distance. These findings validate the feasibility of the proposed system as a low-complexity, high-accuracy assistive robotic solution for rehabilitation and human–machine interaction applications.
Co-Authors A. Sriyanti AA Sudharmawan, AA Achruh, Andi Ahmad Fadil Bagenda, Ahmad Fadil Anandika, Arrya Andi Dian Angriani, Andi Dian Ariadi Hazmi Aziz, Nurjannah Baharuddin Bambang Trisno Adi Budi Sunaryo, Budi Darwison Darwison Eka Damayanti Eka Fitrianto, Eka Firza, Mutia Fitriani Nur, Fitriani Gugus Irianto Gultom, Andre Paskah Hadelina, Rizka Hamdi, Khairil Hasan, Rezkianti Hidayat, Syarif - J, Jusriadi Jamidun, Jamidun Jordan, Adam Khidayati, Paridah Laksono, Pringgo Dwi Latuconsina, Nur Khalisah Mahmood, Asrul Azani Matsushita, Kojiro Mattoliang, Lisnasari Andi Maulana, Zen Resti Minarni Minarni Moh Dahlan Th Musa Muguro, Joseph Muhammad Ardiansyah Muhammad Fadil Mursalim, Ummi Kalsum Naharullah, Ahmad Sazky Nakajima, Rio Noverika Windasari Nugroho, Hermawan Nur Miftahul Jannah Nur, Ahmad Hasan Nurhadi, Rahmad Novan Nurkhalisah Latuconsina, Nurkhalisah Nursalam P, Subagio Palembai, Suriadiningrat Ramadhani, Salisa 'Asyarina Ramlee, Ridza Azri Rosidi Sabhan Sabhan Samad, Rus'an Samuel, Oluwarotimi Williams Sandra Sandra Sasaki, Minoru SB, Kirbani Solly Aryza Sri Sulasteri, Sri Suhaimi, Muhammad Syaiful Amri Bin Suharti Suryanto, Wiwit Syamsuddin, Nur Syamsi Thamrin Tayeb, Thamrin Utami, Pepi Putri Utomo, Lilik Prihadi Yudea Yuhefizar Yuhefizar Zakia Zakia Zelly Rizky Fitriani